Back Market Scraper

Extract refurbished product listings, prices, grades, and customer reviews from Back Market across 17 countries. Type a search like iphone or paste a category/product URL, then export a structured catalog for price monitoring, competitor research, and review analysis — from $1.50 per 1,000 products. Optional product details and reviews use the same rate. You do not pay extra Apify platform usage costs.

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What can Back Market Scraper do for you?

• Build a refurbished catalog from search terms or Back Market URLs — no need to browse every country site by hand.
• Compare refurbished vs new prices with current price, original (new) price, currency, grade, and stock on every listing.
• Cover 17 markets from one Actor: Germany, Austria, Australia, Belgium, Spain, Finland, France, UK, Greece, Ireland, Italy, Japan, Netherlands, Portugal, Sweden, Slovakia, and the United States.
• Enrich specs and variants (storage, color, battery, SIM, images) when you enable product details.
• Collect customer reviews with ratings, comments, photos, and attribute scores such as battery, camera, and shipping.
• Export to JSON, CSV, or Excel and pull the same dataset through the Apify API or webhooks.

What data can you extract from Back Market?

Field	What you get
📱 Name & URL	Product title, model, brand, and canonical Back Market page
🆔 IDs	productId, listingId, legacyId
💶 Price	Current refurbished price, formatted price, original (new) price, currency
✨ Grade	Cosmetic grade label and numeric grade value
⭐ Rating	Average rating and review count
🎨 Variant attrs	Color, subtitle (storage / SIM), category
📝 Description & specs	SEO description plus the technical specification table (when details are on)
🔀 Variants	Grade, battery, storage, color, and SIM pickers with prices
🖼️ Images	Primary image plus the full gallery
💬 Reviews	Rating, comment, date, country, relevance, attachments
🌍 Market	countryCode, locale, and how the item was found (search, category, or product)

Why use this scraper?

• 📊 Market research — map refurbished iPhone, laptop, and appliance prices across grades and countries.
• 🔔 Price monitoring — schedule runs to catch drops versus originalPrice.
• ⭐ Review analysis — pull customer reviews with attribute scores for quality and reputation studies.
• 🗂️ Catalog building — scrape search results or entire categories such as smartphones.
• ⚙️ Automation — feed JSON/CSV into sheets, warehouses, or pricing tools via API and webhooks.

Pricing

Pay only for what you scrape. You do not pay Apify platform usage costs for this Actor — billing is pay-per-event only.

Event	When it is charged	No discount	Bronze	Silver	Gold
Product scraped (product)	Every product written to the dataset	$1.50 / 1,000	$1.40	$1.30	$1.20
Product Details (product-details)	Once per product when includeProductDetails is on	$1.50 / 1,000	$1.40	$1.30	$1.20
Review (product-reviews)	Once per review when includeReviews is on	$1.50 / 1,000	$1.40	$1.30	$1.20

Example: 1,000 products with details and 10 reviews each = 1,000 product events + 1,000 detail events + 10,000 review events.

No hidden fees or limits on usage.

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How to use Back Market Scraper

1. Create a free Apify account — sign up if you don't have one yet.
2. Open the Back Market Scraper on Apify Store.
3. Enter your input — add search queries (e.g. iphone), choose a country, or paste Back Market search, category, or product URLs.
4. Toggle enrichment — enable product details and/or reviews if you need them, and set maxReviews if you want more or fewer than 10 reviews per product.
5. Start the Actor and watch results stream into the dataset.
6. Download your data as JSON, CSV, or Excel from the Output tab, or pull it via the API.

Input

The Actor accepts the following fields:

Field	Type	Required	Description
searchQueries	array	No¹	Product search terms on Back Market (e.g. iphone, macbook air). Uses the selected country. Combined with Start URLs when both are set.
startUrls	array	No¹	Back Market search, category, or product page URLs, e.g. https://www.backmarket.de/de-de/search?q=iphone, https://www.backmarket.at/de-at/l/smartphones/6c290010-c0c2-47a4-b68a-ac2ec2b64dca, or https://www.backmarket.de/de-de/p/iphone-16-pro. Country is taken from the hostname.
country	string	No	Country used for search queries. Default DE (Germany). Ignored for start URLs. Values: DE, AT, AU, BE, ES, FI, FR, GB, GR, IE, IT, JP, NL, PT, SE, SK, US.
maxItems	integer	No	Max products to scrape across all queries/URLs (0 = unlimited). Default 0.
includeProductDetails	boolean	No	Fetch full details (description, specifications, variants, images). Charged as product-details in addition to each product. Default false.
includeReviews	boolean	No	Fetch customer reviews per product. Charged as product-reviews once per review. Default false.
maxReviews	integer	No	Max reviews per product when reviews are enabled (0 = all). Default 10.
detailConcurrency	integer	No	Parallel workers for details/reviews (1–15). Default 5.
proxyConfiguration	object	No	Proxy settings. Apify Residential proxies are recommended.

¹ At least one of searchQueries or startUrls is required.

📝 Copy for Use:

{
  "searchQueries": ["iphone"],
  "startUrls": [
    {
      "url": "https://www.backmarket.de/de-de/search?q=iphone"
    }
  ],
  "country": "DE",
  "maxItems": 10,
  "includeProductDetails": true,
  "includeReviews": true,
  "maxReviews": 10,
  "detailConcurrency": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Why Choose This Scraper?

• Affordable: Pay $1.50 per 1,000 products — optional details and reviews are billed at the same rate, and you do not pay Apify platform usage costs.
• Comprehensive: Listing data plus optional details (specs, variants, images) and customer reviews in one dataset record, across 17 Back Market countries.
• Easy to Use: Type a search term or paste a Back Market URL — no coding required.
• Reliable: Built-in Apify Residential proxy support keeps runs stable on Back Market.

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Running via Apify Console

You can run this actor from the Apify Console by providing the necessary input parameters.

Running via API

You can trigger this actor using the Apify API, passing the required input in the request body.

API Examples

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run = client.actor("rigelbytes/backmarket-scraper").call(run_input={
    "searchQueries": ["iphone"],
    "country": "DE",
    "maxItems": 10,
    "includeProductDetails": True,
    "includeReviews": True,
    "maxReviews": 10,
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["name"], item["formattedPrice"], item.get("grade"))

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('rigelbytes/backmarket-scraper').call({
    searchQueries: ['iphone'],
    country: 'DE',
    maxItems: 10,
    includeProductDetails: true,
    includeReviews: true,
    maxReviews: 10,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

cURL

curl -X POST "https://api.apify.com/v2/acts/rigelbytes~backmarket-scraper/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchQueries":["iphone"],"country":"DE","maxItems":10,"includeProductDetails":true,"includeReviews":true,"maxReviews":10}'

Scheduling & Deduplication

Scheduling

Set up recurring runs from the Schedules tab in Apify Console (or via the API) to keep Back Market prices and stock fresh:

• Price monitoring — schedule daily (or hourly for hero SKUs) to track refurbished prices, grades, and originalPrice gaps.
• Country research — run a schedule per country (e.g. DE, FR, US) when you rely on searchQueries.
• Per-query schedules — create a separate schedule for each searchQueries term so high-priority products (e.g. iphone 16 pro) refresh more often than long-tail terms.
• Category pages — paste a /l/{category}/{uuid} URL in startUrls for weekly catalog snapshots.

Deduplication

Within a single run, the Actor de-duplicates products by productId (falling back to URL), so the same listing discovered through a search query and a start URL appears only once. Use maxItems to cap the total number of products.

Across separate runs, results are appended to the dataset, so deduplicate by keying on productId yourself if needed:

seen = set()
for item in client.dataset(dataset_id).iterate_items():
    key = item.get("productId") or item.get("url")
    if not key or key in seen:
        continue
    seen.add(key)
    # keep this item

You can also configure a webhook on the Actor to trigger a downstream pipeline (database, notification, or app) whenever a run finishes.

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• HRS Hotel Scraper — Scrapes hotel listings, prices, ratings, and amenities from HRS (hrs.com) by location and travel dates.
• IKEA Product Scraper — Scrape IKEA product listings from search queries or start URLs, with optional product details and customer reviews.
• MediaMarkt Germany Product Scraper — Scrape MediaMarkt.de products from search queries or URLs, with optional product details and customer reviews.
• Naukri Job Scraper — Scrape Naukri.com job listings by keyword, location, start URL, or company page, with optional job details, company...
• Google Play Store App Reviews Scraper — Scrape Google Play Store app reviews by app ID or Play Store URL. Supports multiple apps, sorting, score filters,...
• Refurbed.de Product Scraper — Scrape refurbished product listings from refurbed.de using search queries or start URLs, with optional product...
• Rottentomatoes Reviews Scraper — Collect reviews and ratings from Rotten Tomatoes for reputation monitoring and customer insights.
• SEEK Australia Jobs Scraper — Scrape SEEK Australia job listings by keyword, location, or URL. Optionally enrich each job with full details,...
• Skool Community Scraper — Scrape Skool communities from discovery search and category filters. Extract listing data plus optional about-page...
• Target.com Product Scraper — Scrape Target.com products from search queries or URLs. Optionally enrich with product details and customer reviews.
• The Movie Database (TMDB) Scraper — Scrape movies, TV shows, people, and awards from themoviedb.org with the same list filters as the website — genres,...
• TripAdvisor Reviews Scraper — Scrape reviews from TripAdvisor hotel pages using GraphQL API with DataDome protection bypass.
• Trustpilot Reviews Scraper — Collect reviews and ratings from Trustpilot for reputation monitoring and customer insights.
• Trustpilot Company Scraper — Collect reviews and ratings from Trustpilot for reputation monitoring and customer insights.
• TrustRadius Scraper — Scrape TrustRadius companies, product details, and reviews from search queries, categories, or product URLs.
• Yelp Scraper — Scrape Yelp business listings by search term, category, location, or URL. Optional full business details with phone,...

🍔 Food & Delivery

Extract restaurant, grocery, and delivery platform data.

• Carrefour Product Scraper — Scrape Carrefour grocery products across UAE, Saudi Arabia, Qatar, Pakistan, and Georgia by search query, category,...
• Instacart Scraper — Scrape menus, stores, and delivery data from Instacart for data-driven research and automation.
• Lidl Product Scraper — Scrape Lidl supermarket products across Europe by search query or category/product URL. Optionally enrich each item...
• OpenTable Scraper — Scrape OpenTable restaurants by search query (with date/time/party size) or start URLs. Optional listing details and...
• Publix Scraper — Scrape menus, stores, and delivery data from Publix for data-driven research and automation.

📰 News & Media

Scrape news, articles, and media content for research.

• BizBuySell Scraper — Scrape BizBuySell business-for-sale listings via search URLs or structured filters, with optional full listing details.
• SEC IPO Event Intelligence — Monitors SEC EDGAR for IPO filings and converts them into structured business events, with optional AI company...
• SEC Filings Scraper — Retrieve clean, normalized SEC EDGAR filing data by ticker, CIK, or company name — with document links, optional...

🛠️ Developer Tools

General-purpose scraping and automation tools.

• EU Tenders Scraper — Scrape EU public procurement notices from TED (Tenders Electronic Daily) with advanced search filters,...
• Web Crawler — This web crawler is designed to provide users with complete flexibility by allowing them to use their **own...
• Zapier Apps Scraper — Scrape Zapier’s app directory by category, subcategory, sort (popularity, premium, beta, recently launched), or URL....

🔧 Other

Additional scraping tools by Rigel Bytes.

• Bilibili Scraper — Scrape Bilibili videos, categories, search results, and creator spaces. Extract titles, stats, tags, and optional...
• Google Ads Transparency Scraper — Scrape ads from the Google Ads Transparency Center by domain, advertiser, or keyword. Filter by region, time period,...
• Leboncoin Listing Scraper — Scrape Leboncoin listings from a search URL or filters. Extracts title, price, location, seller, images, attributes,...
• Open Construction Estimate Scraper — Scrape construction cost estimates from OpenConstructionEstimate. Export the full catalog, filter by...
• Red Note Scraper — Scrape Red Note (Xiaohongshu) posts from home-feed categories or URLs. Optionally attach creator profiles and top...

Understanding Proxies:

When scraping data or browsing anonymously, proxies are essential. They act as intermediaries, masking your original IP address and allowing you to send requests from another location.

Why Use Proxies?

• Avoid IP Blocks: By routing requests through proxies, you prevent the target website from recognizing your IP as a scraper or spammer.
• Access Geo-restricted Content: Proxies let you access content or websites restricted by location.
• Enhance Anonymity: Hide your actual IP, ensuring privacy while scraping or browsing.

Types of Proxies

1. Residential Proxies
   • Real IP addresses provided by ISPs to home users.
   • They mimic regular users, making them harder to detect.
   • Best for: Long-term, undetectable scraping, and avoiding blocks.
2. Data Center Proxies
   • IP addresses from servers in data centers.
   • Faster and cheaper than residential proxies but easier to detect and block.
   • Best for: High-speed scraping, but with a higher risk of detection.
3. Mobile Proxies
   • IPs provided by mobile carriers (3G/4G/5G networks).
   • Very difficult to detect, as they appear as regular mobile users.
   • Best for: Mobile-related scraping or avoiding sophisticated blocks.

Rotating Proxies vs. Straight Proxies

• Rotating Proxies: Every request you send goes through a different proxy, making it harder for websites to detect patterns.
• Straight Proxies: All requests are sent through the same proxy, making it easier to track your IP.

FAQs & Troubleshooting

Q: What counts as a paid event?

Every product written to the dataset is one product event at $1.50 per 1,000. If includeProductDetails is on, each enriched product also charges one product-details event. If includeReviews is on, each individual review is one product-reviews event — so 10 reviews on one product is 10 review events, not one.

Q: Should I use searchQueries or startUrls?

Use searchQueries plus country when you want keyword search (default country is Germany). Use startUrls for a specific search page, category landing page (/l/smartphones/{uuid}), or product page (/p/iphone-16-pro). You can combine both. The country on a start URL always comes from the hostname, not from country.

Q: Why are some reviews missing?

Reviews are optional and charged separately. Leave includeReviews off if you only need listings. When reviews are on, a few products may return an empty reviews array if Back Market blocks that request — the product row is still saved. Keep Apify Residential proxies enabled and try again; maxReviews caps how many reviews are collected per product.

Q: Which countries are supported?

Search queries use country: DE, AT, AU, BE, ES, FI, FR, GB, GR, IE, IT, JP, NL, PT, SE, SK, US. Start URLs work for any of those Back Market hosts (for example .de, .at, .co.uk, .com).

Q: How do I download results as CSV or Excel?

Open the finished run, go to the Output / dataset tab, and export as JSON, CSV, Excel, or HTML. The same dataset is available through the Apify API.

Q: Why did I get an input validation error?

The Actor needs at least one searchQueries value or one startUrls entry. An empty input fails fast with a clear message. Set maxItems if you want a small test run (for example 10).

About Rigel Bytes

Rigel Bytes specializes in web scraping, automation, and data analytics. We help businesses extract and leverage valuable data for informed decision-making.

Contact Us

Ready to unlock the power of data? Reach out to us at (contact@rigelbytes.com) or book an appointment with us to learn more about how we can help you achieve your data goals.

Detailed Data

[
  {
    "productId": "12d2e039-0c01-4db9-ba49-69ab1a0eb4e8",
    "listingId": "be8a0fd7-1370-4b13-9b81-4a4abc4d9d2f",
    "name": "iPhone 16 Pro 128GB - Titan Schwarz - Ohne Vertrag",
    "model": "iPhone 16 Pro",
    "brand": "apple",
    "color": "Titan Schwarz",
    "url": "https://www.backmarket.de/de-de/p/iphone-16-pro",
    "imageUrl": "https://d2e6ccujb3mkqf.cloudfront.net/12d2e039-0c01-4db9-ba49-69ab1a0eb4e8-1_e57df7e9-962d-465a-9114-2005c7e51b42.jpg",
    "price": 630.0,
    "formattedPrice": "630,00 €",
    "originalPrice": 1199.0,
    "currency": "EUR",
    "grade": "Gut",
    "rating": 4.51,
    "reviewCount": 15817,
    "warranty": 12,
    "countryCode": "DE",
    "sourceType": "search",
    "sourceQuery": "iphone",
    "description": "Das iPhone 16 Pro ist Apples Vorzeigemodell aus dem Jahr 2024...",
    "specifications": [
      { "label": "Farbe", "value": "Titan Schwarz", "field": "color" },
      { "label": "Lagerung", "value": "128 GB", "field": "storage" }
    ],
    "reviews": [
      {
        "id": "80107b0a-de3f-4637-ab96-1cbee7185821",
        "rating": 5.0,
        "comment": "Really happy with this purchase. The phone arrived in excellent condition and honestly looks brand new.",
        "createdAt": "2026-09-09",
        "languageCode": "de",
        "countryCode": "DE"
      }
    ]
  },
  {
    "productId": "150dbba2-b813-4dc9-8a4a-da7c83cc8876",
    "listingId": "f682b952-79f3-493d-8bd8-78acbb3f212b",
    "name": "iPhone 16 Pro Max 256GB - Titan Weiß - Ohne Vertrag",
    "model": "iPhone 16 Pro Max",
    "brand": "apple",
    "color": "Titan Weiß",
    "url": "https://www.backmarket.de/de-de/p/iphone-16-pro-max",
    "price": 812.0,
    "formattedPrice": "812,00 €",
    "originalPrice": 1449.0,
    "currency": "EUR",
    "grade": "Sehr gut",
    "rating": 4.52,
    "reviewCount": 7037,
    "countryCode": "DE",
    "sourceType": "search",
    "sourceQuery": "iphone"
  }
]